Triple

T14294815
Position Surface form Disambiguated ID Type / Status
Subject Mark Benton E354410 entity
Predicate notableWork P4 FINISHED
Object Murphy’s Law E865403 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Murphy’s Law | Statement: [Mark Benton, notableWork, Murphy’s Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murphy’s Law
Context triple: [Mark Benton, notableWork, Murphy’s Law]
  • A. Murphy's Law
    "Murphy's Law" is the debut studio album by American rapper Murphy Lee, showcasing his St. Louis hip hop style and featuring collaborations with prominent artists from the St. Lunatics and beyond.
  • B. Murphy's Law chosen
    Murphy's Law is a British television crime drama series starring Mark Womack as a maverick undercover detective.
  • C. Murphy’s law
    Murphy’s law is the adage that anything that can go wrong will go wrong, often cited to express the inevitability of errors or misfortune.
  • D. Aitken’s Law
    Aitken’s Law is a phonological rule in Scots and Scottish English that governs when vowels are pronounced long or short depending on their phonetic and morphological environment.
  • E. Cunningham's Law
    Cunningham's Law is an internet adage stating that the best way to get the right answer online is not to ask a question, but to post the wrong answer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717b35ec81908968994e65737c66 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.